iPhone17,1
Geekbench AI Score
4341
Single Precision Score
7534
Half Precision Score
5974
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.6 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
16718
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14333
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2006
159.1 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2550
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7244
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7285
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13532
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9330
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22634
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35862
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29299
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6804
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4769
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5942
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6985
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6969
120.4 IPS |
